Neuromorphic circuit based on the un-supervised learning of biologically inspired spiking neural network for pattern recognition

A novel un-supervised burst time dependent plasticity learning approach for biologically pattern recognition networks

“…It comes as no surprise that hardware implementations of bio-inspired networks with spike-based operation, called neuromorphic systems, have enjoyed increasing interest. In recent years, spiking neural networks have been successfully implemented on neuromorphic chips [3][4] with an energy consumption on the scale of Pico-joules (PJ) to transmit a spike [6][7][8], providing an outlook on on-chip learning at reasonable energy consumption levels [4,9].…”